Transforming Knowledge Dynamics

This study investigates the transformative role of Generative Artificial Intelligence (GenAI) in reshaping organizational knowledge management (KM) processes and their subsequent impact on innovation outcomes. Adopting an explanatory sequential mixed-methods design, data were collected from 247 knowledge-intensive organizations across manufacturing, financial services, and technology sectors through semi-structured interviews (n=32) and a structured questionnaire survey. Building upon Nonaka's SECI framework and the Technology-Organization-Environment (TOE) model, this research proposes an integrated conceptual framework examining GenAI-enabled knowledge creation, transfer, and application mechanisms. Organizations with higher GenAI-KM integration reported a 34.2% higher mean perceived innovation score than lower-integration organizations; this represents a cross-sectional association rather than an objective or causal performance effect. Theoretical implications extend the SECI model by incorporating AI-mediated knowledge transformation, while practical recommendations address implementation challenges.